Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK

2 code implementations • 8 Aug 2023 • Florian J. Kiwit, Marwa Marso, Philipp Ross, Carlos A. Riofrío, Johannes Klepsch, Andre Luckow

Benchmarking of quantum machine learning (QML) algorithms is challenging due to the complexity and variability of QML systems, e. g., regarding model ansatzes, data sets, training techniques, and hyper-parameters selection.

Benchmarking Quantum Machine Learning